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논문검색

Understanding Passengers’ Perceived Safety and Quality of Journey in AI-based Self-Driving Taxi Services

원문정보

Siew Fan Wong, Seoyoun Lee, Younghoon Chang

한국경영정보학회 한국경영정보학회 정기 학술대회 2021 한국경영정보학회 추계통합학술대회 2021.11 pp.316-318
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

Safety issue is the decisive key to service commercialization for autonomous vehicles. This study examines the relationship between perceived safety and the quality of the journey in AI-based self-driving taxi services. The results will provide scholarly and practical implications to enhance AI-based self-driving taxi services.

목차

Abstract
Introduction
Theoretical Background
AI Self Driving Taxi
Perceived Safety
Research Model & Hypotheses
Measurement Item
Data Collection and Analysis
Future study
Acknowledgements
References

키워드

저자정보

  • Siew Fan Wong Sunway University
  • Seoyoun Lee School of Management and Economics Beijing Institute of Technology
  • Younghoon Chang School of Management and Economics Beijing Institute of Technology

참고문헌

자료제공 : 네이버학술정보

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